PortfolioMetrics

SYBD vs. SPPY - ETF Comparison

SYBD - SPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETF

The SPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETF is an exchange-traded fund that tracks the Bloomberg Euro Corporate Bond 0-3 index, providing investors with exposure to Euro-denominated corporate bonds with a time to maturity of 0-3 years and an investment-grade rating. The fund is designed to provide regular income through semi-annual distributions and has a low expense ratio of 0.2%.

SPPY - SPDR S&P 500 ESG Leaders UCITS ETF (Acc)

The SPDR S&P 500 ESG Leaders UCITS ETF (Acc) is an equity ETF that tracks the S&P 500 ESG Leaders index, investing in large-cap US companies selected by environmental, social, and governance (ESG) criteria. The fund aims to provide long-term growth while adhering to ESG principles, with a low expense ratio of 0.03%.

SYBDSPPY
Fund NameSPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETFSPDR S&P 500 ESG Leaders UCITS ETF (Acc)
Fund ProviderState StreetState Street
IndexBloomberg Euro Corporate Bond 0-3S&P 500 ESG Leaders
Asset ClassBondsEquity
ListingEU-listedEU-listed
Expense Ratio0.2%0.03%
Inception Date2013-08-272019-12-02
Number Of Holdings1512216
CurrencyEURUSD
Distribution PolicyDistributingAccumulating
RegionEuropeUnited States
LeveragedNon-leveragedNon-leveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Performance Analysis

The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.

Cumulative Returns

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End of Year Returns Table

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End of Year Returns

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Risk Analysis

The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.

Drawdowns

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Drawdowns Table

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Monte Carlo Simulation

The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.

IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.

Monte Carlo Metrics

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Simulated Portfolio Prices

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